Journal article Open Access
In Filtering contrast, brightness and normalization of the image are
performed with an ultimate goal to remove or reduce the noise to a maximum extent.
Contrast and Brightness are two major factors, which affect the superiority of an
image for easy or stainless or pleasant viewing. Equalization through Histogram (HE)
is a very famous approach for image contrast adjustment or enhancement in image
processing. In general, the histogram equalization distributes pixel values consistently
and produces an outcome in a superior image with the linear increasing histogram.
Contrast adjustment is the part of image preprocessing and specifically filtering noise.
In this paper, the new algorithm is discussed for a Grayscale Fingerprint image. The
algorithm tunes pixel intensity value to a higher intensity value based on a constant
value τ. In this paper, we compare the new algorithm with Histogram Equalization
and try to find its advantages and disadvantages. This method is effectively used in
Fingerprint Identification/verification purpose as an alternative for image filtering.
The algorithm is implemented using MATLAB2015a.